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1
A Report on the Modelling of the Dispersion and Deposition of
Ammonia from the Proposed Pullet Rearing Houses at Cwmroches,
Penybont, Llandrindod Wells, Powys
Prepared by Steve Smith
AS Modelling & Data Ltd.
Email: [email protected]
Telephone: 01952 462500
1st December 2016
2
1. Introduction
AS Modelling & Data Ltd. has been instructed by Graham Clark of Berrys, on behalf of the applicant
Mr G Owen, to use computer modelling to assess the impact of ammonia emissions from the
proposed pullet rearing houses at Land Cwmroches, Penybont, Llandrindod Wells, Powys. LD1 5SY.
Ammonia emission rates from the proposed pullet rearing houses have been assessed and
quantified based upon the Environment Agency’s standard ammonia emission factors. The ammonia
emission rates have then been used as inputs to an atmospheric dispersion and deposition model
which calculates ammonia exposure levels and nitrogen and acid deposition rates in the surrounding
area.
This report is arranged in the following manner:
Section 2 provides relevant details of the farm and potentially sensitive receptors in the
area.
Section 3 provides some general information on ammonia; details of the method used to
estimate ammonia emissions, relevant guidelines and legislation on exposure limits and
where relevant, details of likely background levels of ammonia.
Section 4 provides some information about ADMS, the dispersion model used for this
study and details the modelling procedure.
Section 5 contains the results of the modelling.
Section 6 provides a discussion of the results and conclusions.
3
2. Background Details
The site of the proposed poultry houses at Cwmroches is in a rural area. The surrounding land is
used primarily as pasture for livestock farming although there are also some isolated arable fields
and some wooded areas. The site is at an altitude of around 245 m with the land falling towards the
River Ithon Valley to the south-east and rising towards hilltops to the north-west.
It is proposed that two new chicken rearing houses be constructed approximately 120 m to the
west-south-west of the existing farm buildings at Cwmroches. The new houses would provide
accommodation for up to 38,000 pullets, which would be reared from day old chicks up to the age of
around 18 weeks old, prior to transfer to egg laying units elsewhere. The new houses would be
ventilated by uncapped high speed ridge mounted fans, each with a short chimney.
There are several areas of Ancient Woodland (AW) within 2 km of the site of the proposed poultry
houses at Cwmroches; parts of two of the AWs are within 100 m of the proposed poultry houses.
There are three Sites of Special Scientific Interest (SSSIs) within 2 km of the site; the closest, namely
Cae Cwn-Rhocas, is approximately 220 m to the east. Parts of the River Ithon Special Area of
Conservation (SAC) are also within 2 km. There are several other SSSIs within 5 km, but other than
the River Ithon SAC, there are no other internationally designated sites within 10 km.
Maps of the surrounding area showing the positions of the poultry unit, the AWs, the SSSIs and the
SAC are provided in Figures 1a and 1b. In these figures; AWs are shaded in olive, SSSIs are shaded in
green, the SAC is shaded in purple and the site of the poultry rearing houses is outlined in blue.
4
Figure 1a. The area surrounding Cwmroches – concentric circles radii 2.0 km (olive), 5.0 km (green) and 10.0 km (purple)
© Crown copyright and database rights. 2016.
5
Figure 1b. The area surrounding Cwmroches – a closer view
© Crown copyright and database rights. 2016.
6
3. Ammonia, Background Levels, Critical Levels & Loads & Emission
Rates
3.1 Ammonia concentration and nitrogen and acid deposition
When assessing potential impact on ecological receptors, ammonia concentration is usually
expressed in terms of micrograms of ammonia per metre cubed of air (µg-NH3/m3) as an annual
mean. Ammonia in the air may exert direct effects on the vegetation, or indirectly affect the
ecosystem through deposition which causes both hyper-eutrophication (excess nitrogen
enrichment) and acidification of soils. Nitrogen deposition, specifically in this case the nitrogen load
due to ammonia deposition/absorption is usually expressed in kilograms of nitrogen per hectare per
year (kg-N/ha/y). Acid deposition is expressed in terms of kilograms equivalent (of H+ ions) per
hectare per year (keq/ha/y).
3.2 Background ammonia levels and nitrogen and acid deposition The background ammonia concentration (annual mean) in the area around Cwmroches and the
wildlife sites is 1.15 µg-NH3/m3. The background nitrogen deposition rate to woodland is 27.16 kg-
N/ha/y and to short vegetation is 16.80 kg-N/ha/y. The background acid deposition rate to
woodland is 2.12 keq/ha/y and to short vegetation is 1.35 keq/ha/y. The source of these background
figures is the Air Pollution Information System (APIS).
3.3 Critical Levels & Critical Loads
Critical Levels and Critical Loads are a benchmark for assessing the risk of air pollution impacts to
ecosystems. It is important to distinguish between a Critical Level and a Critical Load. The Critical
Level is the gaseous concentration of a pollutant in the air, whereas the Critical Load relates to the
quantity of pollutant deposited from air to the ground.
Critical Levels are defined as, "concentrations of pollutants in the atmosphere above which direct
adverse effects on receptors, such as human beings, plants, ecosystems or materials, may occur
according to present knowledge". (UNECE)
Critical Loads are defined as, "a quantitative estimate of exposure to one or more pollutants below
which significant harmful effects on specified sensitive elements of the environment do not occur
according to present knowledge". (UNECE)
For ammonia concentration in air, the Critical Level for higher plants is 3.0 µg-NH3/m3 as an annual
mean. For sites where there are sensitive lichens and bryophytes present, or where lichens and
bryophytes are an integral part of the ecosystem, the Critical Level is 1.0 µg-NH3/m3 as an annual
mean.
7
Critical Loads for nutrient nitrogen are set under the Convention on Long-Range Transboundary Air
Pollution. They are based on empirical evidence, mainly observations from experiments and gradient
studies. Critical Loads are given as ranges (e.g. 10-20 kg-N/ha/y); these ranges reflect variation in
ecosystem response across Europe.
The Critical Levels and Critical Loads at the wildlife sites assumed in this study are provided in Table
1. N.B. Where the Critical Level of 1.0 µg-NH3/m3 is assumed, it is usually unnecessary to consider the
Critical Load as the Critical Level provides the stricter test. Normally the Critical Load for nitrogen
deposition provides a stricter test than does the Critical Load for acid deposition.
Table 1. Critical Levels and Critical Loads at the wildlife sites
Site Critical Level (µg-NH3/m
3)
Critical Load - Nitrogen Deposition (kg-N/ha/y)
Critical Load - Acid Deposition (keq/ha/y)
AWs 1.0 1 -
-
Cae Cwn-Rhocas SSSI 3.0 2 10.0
3 -
Other SSSIs and SAC 1.0 1 -
1. A precautionary figure, used where details of the site are unavailable, or citations indicate that sensitive lichens and bryophytes may be present.
2. Based upon the citation for the SSSI. 3. The lower bound of the range of Critical Loads for the habitat(s), obtained from APIS.
3.4 Guidance on the Significance of Ammonia Emissions
The following are obtained from the Environment Agency’s horizontal guidance, H1 Environmental
Risks Assessment, H1 Annex B - Intensive Farming.
“An emission is insignificant where Process Contribution (PC) is <4% of Critical Levels for SACs, SPAs
and Ramsars, <20% for SSSIs, and <50% for local and national nature reserves (LNRs & NNRs),
ancient woodland and local wildlife sites.” And “Where modelling predicts a process contribution
>20% of the Critical Level/Load at a SAC, SPA or Ramsar, >50% at a SSSI or >100% at a NNR, LNR,
ancient woodland or local wildlife site, your proposal may not be considered acceptable. In such
cases, your assessment should include proposals to reduce ammonia emissions.”
This document was withdrawn February 1st 2016 and replaced with a web-page titled “Intensive
farming risk assessment for your environmental permit”, which contains essentially the same
criteria. It is assumed that the upper threshold and lower threshold on the web-page refers to the
levels that were previously referred to as levels of insignificance and acceptability in Annex B–
Intensive Farming.
Within the range between the lower and upper thresholds; 4% to 20% for SACs, SPAs and Ramsars;
20% to 50% for SSSIs and 100% to 100% for other non-statutory wildlife sites, whether or not the
impact is deemed acceptable is at the discretion of the Environment Agency. In making their
decision, the Environment Agency will consider whether other farming installations might act in
combination with the farm and the sensitivities of the wildlife sites. N.B. In the case of LWSs and
AWs, the Environment Agency do not usually consider other farms that may act in combination and
therefore a PC of up to 100% of Critical Level or Critical Load is usually deemed acceptable for
permitting purposes and therefore the upper and lower thresholds are the same (100%).
8
Note that this guidance is presented as it provides the only published guidance on the significance
and acceptability of ammonia emission from intensive farming. For installation other than permitted
intensive farming, the level of insignificance for a pollutant is generally accepted to be 1% of the
Critical Level or Critical Load and higher levels may be acceptable when considered in-combination
with background levels, if the Critical Level or Critical Load is not exceeded (a total of 70% of Critical
Level or Critical Load is usually considered to be the maximum acceptable level). However, since the
Critical Level or Critical Load for ammonia and nitrogen and acid deposition are, in general, already
exceeded across much of the UK, if this approach were adopted, no process contribution of more
than 1% would be allowed and therefore a more pragmatic approach such as the Environment
Agency’s is required.
3.5 Quantification of Ammonia Emissions
Ammonia emission rates from poultry houses depend on many factors and are likely to be highly
variable. However, the benchmarks for assessing impacts of ammonia and nitrogen deposition are
framed in terms of an annual mean ammonia concentration and annual nitrogen deposition rates.
To obtain relatively robust figures for these statistics, it is not necessary to model short term
temporal variations and a steady continuous emission rate can be assumed. In fact, modelling short
term temporal variations might introduce rather more uncertainty than modelling continuous
emissions.
The Environment Agency provided an Intensive farming guidance note which lists standard ammonia
emission factors for a variety of livestock, including pullet rearing. The emission factor for pullets
(rearing) is 0.060 kg-NH3/bird place/y; this figure is used to calculate the emissions from the
proposed poultry unit.
Details of the poultry numbers and types and emission factors used and calculated ammonia
emission rates are provided in Table 2.
Table 2. Details of poultry numbers and ammonia emission rates
Source Animal numbers Type or weight Emission factor
(kg-NH3/place/y) Emission rate
(g-NH3/s)
Proposed Housing 38,000 Pullets (rearing) 0.060 0.072249
9
4. The Atmospheric Dispersion Modelling System (ADMS) and
model parameters
The Atmospheric Dispersion Modelling System (ADMS) ADMS 5 is a new generation Gaussian plume
air dispersion model, which means that the atmospheric boundary layer properties are characterised
by two parameters; the boundary layer depth and the Monin-Obukhov length rather than in terms
of the single parameter Pasquill-Gifford class.
Dispersion under convective meteorological conditions uses a skewed Gaussian concentration
distribution (shown by validation studies to be a better representation than a symmetrical Gaussian
expression).
ADMS has a number of model options including: dry and wet deposition; NOx chemistry; impacts of
hills; variable roughness; buildings and coastlines; puffs; fluctuations; odours; radioactivity decay
(and γ-ray dose); condensed plume visibility; time varying sources and inclusion of background
concentrations.
ADMS has an in-built meteorological pre-processor that allows flexible input of meteorological data
both standard and more specialist. Hourly sequential and statistical data can be processed and all
input and output meteorological variables are written to a file after processing.
The user defines the pollutant, the averaging time (which may be an annual average or a shorter
period), which percentiles and exceedance values to calculate, whether a rolling average is required
or not and the output units. The output options are designed to be flexible to cater for the variety of
air quality limits which can vary from country to country and are subject to revision.
10
4.1 Meteorological data
Computer modelling of dispersion requires hourly sequential meteorological data and to provide
robust statistics the record should be of a suitable length; preferably four years or longer.
The meteorological data used in this study is obtained from assimilation and short term forecast
fields of the Numerical Weather Prediction (NWP) system known as the Global Forecast System
(GFS).
The GFS is a spectral model and data are archived at a horizontal resolution of 0.25 degrees, which is
approximately 25 km over the UK (formerly 0.5 degrees, or approximately 50 km). The GFS
resolution adequately captures major topographical features and the broad-scale characteristics of
the weather over the UK. Smaller scale topological features may be included in the dispersion
modelling by using the flow field module of ADMS (FLOWSTAR). The use of NWP data has
advantages over traditional meteorological records because:
Calm periods in traditional records may be over represented, this is because the
instrumentation used may not record wind speed below approximately 0.5 m/s and start
up wind speeds may be greater than 1.0 m/s. In NWP data, the wind speed is continuous
down to 0.0 m/s, allowing the calms module of ADMS to function correctly.
Traditional records may include very local deviations from the broad-scale wind flow that
would not necessarily be representative of the site being modelled; these deviations are
difficult to identify and remove from a meteorological record. Conversely, local effects at
the site being modelled are relatively easy to impose on the broad-scale flow and
provided horizontal resolution is not too great, the meteorological records from NWP
data may be expected to represent well the broad-scale flow.
Information on the state of the atmosphere above ground level which would otherwise
be estimated by the meteorological pre-processor may be included explicitly.
A wind rose showing the distribution of wind speeds and directions in the GFS derived data is shown
in Figure 2a.
Wind speeds are modified by the treatment of roughness lengths (see Section 4.7) and where terrain
data is included in the modelling, wind speeds and directions will be modified. The terrain and
roughness length modified wind rose for the farm is shown in Figure 2b. Note that elsewhere in the
modelling domain, modified wind roses may differ more markedly and that the resolution of the
wind field in terrain runs is approximately 600 m in the preliminary modelling and is 200 m in the
detailed modelling.
11
Figure 2a. The wind rose. Raw GFS derived data for 52.265 N, 3.310 W 2012 – 2015
\\Octo3\octo3_work\modelling\Cwmroaches\GFS_52.265_-3.31_ADMS_010112_010116.met
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Figure 2b. The wind rose. FLOWSTAR modified GFS data for the site of the poultry unit (NGR 310600,
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13
4.2 Emission sources
Emissions from the chimneys of the uncapped high speed ridge mounted fans on the proposed
poultry houses are represented by three point sources per house within ADMS (PR1 a, b & c and PR2
a, b & c). Details of the point source parameters are shown in Table 3. The positions of the point
sources may be seen in Figure 3.
Table 3. Point source parameters
Source ID Height
(m) Diameter
(m)
Efflux velocity
(m/s)
Emission temperature
(˚C)
Emission rate per source
(g-NH3/s)
PR1 a, b & c 6.5 0.8 11.0 21.0 0.010838
PR2 a, b & c 6.5 0.8 11.0 21.0 0.013245
4.3 Modelled buildings
The structure of the poultry houses may affect the plumes from the point sources. Therefore, the
buildings are modelled within ADMS. The positions of the modelled buildings may be seen in Figure
3, where they are marked by grey rectangles.
Figure 3. The positions of modelled buildings & sources
© Crown copyright and database rights. 2016.
14
4.4 Discrete receptors
One hundred and twelve discrete receptors have been defined: fifty-four at the AWs (1 to 54);
twenty-one at the SSSIs (55 to 75) and thirty-seven at the SAC (76 to 112). These receptors are
defined at ground level within ADMS. The positions of the discrete receptors may be seen in Figures
4a and 4b, where they are marked by enumerated pink rectangles. Receptors have also been defined
at 7.5 m above ground level at closer woodland receptors; these receptors are at the same positions
as receptors 1 to 20; they are referred to as receptors 1C to 20C in the Tables in Section 5 and are
used to estimate deposition throughout the entire depth of the woodlands, rather than just at
ground level.
4.5 Cartesian grid
To produce the contour plots presented in Section 5 of this report and to define the spatially varying
deposition velocity field, a regular Cartesian grid has been defined within ADMS. The individual grid
receptors are defined at ground level within ADMS. The position of the Cartesian grid may be seen in
Figure 4b, where it is marked by grey lines.
4.6 Terrain data
Terrain has been considered in the modelling. The terrain data are based upon the Ordnance Survey
50 m Digital Elevation Model. A 20.0 km x 20.0 km domain has been resampled at 100 m horizontal
resolution for use within ADMS for use in the preliminary modelling and a 6.4 km x 6.4 km domain
has been resampled at 50 m horizontal resolution for use in the detailed modelling. N.B. The
resolution of FLOWSTAR is 32 x 32 grid points; therefore, the effective resolution of the wind field is
approximately 600 m in the preliminary modelling and is 200 m in the detailed modelling.
4.7 Roughness Length
A fixed surface roughness length of 0.3 m has been applied over the entire modelling domain. As a
precautionary measure, the GFS meteorological data is assumed to have a roughness length of 0.275
m. The effect of the difference in roughness length is precautionary as it increases the frequency of
low wind speeds and the stability and therefore increases predicted ground level concentrations.
15
Figure 4a. The discrete receptors– a broad-scale view
© Crown copyright and database rights. 2016.
16
Figure 4b. The discrete receptors and the regular Cartesian grid – a closer view
© Crown copyright and database rights. 2016.
17
4.8 Deposition
The method used to model deposition of ammonia and consequent plume depletion is based on a
document titled “Guidance on modelling the concentration and deposition of ammonia emitted
from intensive farming” from the Environment Agency’s Air Quality Modelling and Assessment Unit,
22 November 2010. N.B. AS Modelling & Data Ltd. has restricted deposition over arable farmland to
0.005 m/s to compensate for possible saturation effects due to fertilizer/manure application and to
allow for periods when fields are clear of crops (Sutton et al). The deposition velocity is also set to
0.015 over heavily grazed pasture and 0.002 m/s where grid points are over the poultry houses, or
other vegetation free areas.
In summary the method is as follows:
A preliminary run of the model without deposition is used to provide an ammonia
concentration field.
The preliminary ammonia concentration field, along with land usage is used to define a
deposition velocity field. The deposition velocities used are provided in Table 4.
Table 4. Deposition velocities
NH3 concentration (PC + background)
(µg/m3) < 10 10 - 20 20 - 30 30 – 80 > 80
Deposition velocity – woodland
(m/s) 0.03 0.015 0.01 0.005 0.003
Deposition velocity – short vegetation
(m/s) 0.02 0.015 0.01 0.005 0.003
Deposition velocity – arable farmland
(m/s) 0.005 0.005 0.005 0.005 0.003
The model is then rerun with the spatially varying deposition module.
A contour plot of the spatially varying deposition field is provided in Figure 5.
19
5. Details of the Model Runs and Results
5.1 Preliminary modelling
ADMS was run a total of twelve times, once for each year of the meteorological record in three
modes:
In basic mode without calms, or terrain – GFS data.
With calms and without terrain – GFS data.
Without calms and with terrain – GFS data.
For each mode, statistics for the maximum annual mean ammonia concentration at each receptor
were compiled.
Details of the predicted annual mean ammonia concentrations at each receptor are provided in
Table 5. In the Table, predicted ammonia concentrations that are in excess of the Environment
Agency’s upper threshold (20% of Critical Level or Load for a SAC, 50% of Critical Level or Load for a
SSSI and 100% of Critical Level or Load for an AW) are coloured red. Concentrations in the range
between the Environment Agency’s upper threshold and lower threshold (4% to 20% for a SAC, 20%
to 50% for a SSSI and 50% 1 to 100% for an AW) are coloured blue. For convenience, cells referring to
AWs are shaded olive, cells referring to SSSIs are shaded green and cells referring to the SAC are
shaded purple.
1. The pre-February 2016 value is retained.
20
Table 5. Predicted maximum annual mean ammonia concentration rate at the discrete receptors
Receptor number
X(m) Y(m)
Maximum annual mean ammonia concentration (µg/m3)
GFS No Calms No terrain
GFS Calms
No Terrain
GFS No Calms
Terrain
1 310598 263762 0.651 0.646 0.696
2 310626 263725 0.456 0.454 0.522
3 310560 263726 0.435 0.432 0.464
4 310751 263819 1.225 1.200 1.442
5 310816 263815 0.662 0.649 0.799
6 310767 263743 0.514 0.510 0.491
7 310610 263676 0.280 0.279 0.310
8 310531 263678 0.264 0.261 0.278
9 310840 263977 0.504 0.494 0.701
10 310876 263923 0.499 0.489 0.616
11 310853 264048 0.337 0.331 0.502
12 310648 264159 0.241 0.237 0.217
13 310535 264175 0.151 0.149 0.170
14 310814 264170 0.216 0.212 0.241
15 310939 264024 0.290 0.284 0.416
16 310971 263936 0.312 0.306 0.372
17 310890 263765 0.339 0.333 0.403
18 310803 263671 0.278 0.276 0.242
19 310575 263584 0.155 0.154 0.173
20 310462 263601 0.147 0.146 0.165
1C 310598 263762 0.860 0.853 0.923
2C 310626 263725 0.502 0.499 0.579
3C 310560 263726 0.466 0.463 0.522
4C 310751 263819 1.247 1.221 1.443
5C 310816 263815 0.677 0.664 0.811
6C 310767 263743 0.533 0.529 0.504
7C 310610 263676 0.313 0.311 0.351
8C 310531 263678 0.295 0.291 0.317
9C 310840 263977 0.504 0.494 0.705
10C 310876 263923 0.504 0.493 0.618
11C 310853 264048 0.340 0.334 0.506
12C 310648 264159 0.245 0.241 0.221
13C 310535 264175 0.159 0.157 0.190
14C 310814 264170 0.221 0.218 0.245
15C 310939 264024 0.294 0.288 0.418
16C 310971 263936 0.319 0.313 0.373
17C 310890 263765 0.360 0.353 0.419
18C 310803 263671 0.296 0.294 0.250
19C 310575 263584 0.182 0.181 0.203
20C 310462 263601 0.170 0.168 0.194
21
Table 5. (continued)
Receptor number
X(m) Y(m)
Maximum annual mean ammonia concentration (µg/m3)
GFS No Calms No terrain
GFS Calms
No Terrain
GFS No Calms
Terrain
21 310476 263479 0.098 0.097 0.109
22 310925 263639 0.171 0.170 0.151
23 311059 264007 0.206 0.202 0.249
24 310981 264156 0.177 0.173 0.278
25 310838 264281 0.143 0.141 0.156
26 310715 264368 0.114 0.112 0.101
27 310545 264336 0.095 0.094 0.111
28 310158 263683 0.102 0.101 0.084
29 310018 264088 0.048 0.048 0.058
30 309956 263893 0.055 0.055 0.047
31 309743 263718 0.045 0.045 0.037
32 310945 264357 0.103 0.101 0.127
33 311184 264219 0.109 0.107 0.165
34 311228 264362 0.081 0.079 0.120
35 311520 264418 0.054 0.053 0.076
36 310980 263135 0.040 0.039 0.046
37 311718 263230 0.030 0.030 0.030
38 311472 262908 0.026 0.026 0.020
39 312024 262639 0.017 0.017 0.015
40 311031 262132 0.013 0.013 0.019
41 310039 262093 0.014 0.014 0.018
42 309743 262625 0.018 0.017 0.029
43 309408 262363 0.013 0.013 0.023
44 309329 262934 0.016 0.016 0.034
45 308836 263204 0.017 0.017 0.022
46 309427 264157 0.022 0.021 0.030
47 309118 263776 0.021 0.021 0.018
48 309447 264413 0.019 0.018 0.033
49 309802 264650 0.020 0.020 0.024
50 310045 264939 0.018 0.018 0.026
51 309795 264985 0.014 0.014 0.018
52 309296 265288 0.009 0.009 0.011
53 310814 265491 0.020 0.019 0.020
54 310904 263769 0.325 0.319 0.390
55 310934 263830 0.350 0.344 0.422
56 310965 263889 0.328 0.322 0.377
57 310941 263658 0.174 0.173 0.170
58 311030 263802 0.224 0.220 0.270
59 311044 263962 0.232 0.227 0.267
60 311151 263936 0.170 0.166 0.188
61 311111 263771 0.163 0.160 0.199
62 309947 263352 0.038 0.038 0.065
63 309678 263356 0.032 0.032 0.046
64 309740 263494 0.041 0.040 0.043
65 310533 265528 0.020 0.020 0.026
66 310165 265563 0.014 0.014 0.023
67 309883 265710 0.011 0.011 0.014
68 310259 265797 0.014 0.014 0.022
69 309950 266205 0.009 0.009 0.015
70 306709 266285 0.004 0.004 0.006
71 306450 264033 0.006 0.006 0.007
72 305734 263260 0.006 0.006 0.005
73 306548 261815 0.006 0.005 0.006
74 307208 261014 0.005 0.005 0.007
75 309103 259217 0.005 0.005 0.002
22
Table 5. (continued)
Receptor number
X(m) Y(m)
Maximum annual mean ammonia concentration (µg/m3)
GFS No Calms No terrain
GFS Calms
No Terrain
GFS No Calms
Terrain
76 311303 264272 0.084 0.083 0.121
77 311522 264019 0.075 0.074 0.075
78 311475 263599 0.061 0.060 0.074
79 311413 263131 0.034 0.034 0.025
80 311380 264798 0.036 0.036 0.052
81 311427 265322 0.021 0.021 0.028
82 310754 265686 0.018 0.018 0.019
83 308694 264004 0.014 0.014 0.015
84 308996 263395 0.021 0.021 0.021
85 309234 262673 0.013 0.013 0.027
86 310453 262204 0.015 0.015 0.023
87 311125 262575 0.018 0.018 0.024
88 312225 262891 0.018 0.018 0.018
89 313370 263272 0.014 0.013 0.021
90 312652 265804 0.011 0.011 0.023
91 310359 267025 0.009 0.009 0.013
92 308283 266169 0.005 0.005 0.007
93 308545 265154 0.008 0.008 0.015
94 307518 264538 0.007 0.007 0.016
95 308636 261743 0.008 0.008 0.018
96 309218 261241 0.009 0.009 0.013
97 305860 262292 0.006 0.005 0.006
98 305729 265138 0.004 0.004 0.006
99 307816 267958 0.003 0.003 0.004
100 310605 268901 0.005 0.005 0.007
101 314111 267370 0.005 0.005 0.012
102 315137 269943 0.003 0.003 0.006
103 312006 271648 0.003 0.003 0.002
104 309883 271509 0.003 0.003 0.002
105 307308 270952 0.002 0.002 0.002
106 303405 266022 0.002 0.002 0.002
107 304198 260237 0.003 0.003 0.005
108 306019 258504 0.003 0.003 0.003
109 306224 256771 0.003 0.003 0.002
110 307854 255611 0.002 0.002 0.001
111 311966 257432 0.003 0.003 0.003
112 311613 254789 0.002 0.002 0.002
23
5.2 Detailed deposition modelling
The detailed deposition modelling was carried out over a domain covering the poultry unit, closer
AWs, Cae Cwn-Rhocas SSSI and closer parts of the River Ithon SAC, where the preliminary modelling
indicated that annual mean ammonia concentrations could potentially exceed the lower threshold
percentage of the relevant Critical Level/Critical Load (4% for the SAC, 20% for the SSSI and 50% for
the AWs). At all other receptors, annual mean ammonia concentrations were predicted to be at
levels below the Environment Agency’s lower threshold percentage of Critical Level/Load for the
site.
Spatially varying deposition and terrain cannot be modelled in conjunction with the calms module of
ADMS. In this case, the preliminary modelling suggests that, with ventilation using elevated high
speed fans, the effect of calms is insignificant. The model was run four times, once for each year of
the meteorological record.
The results of the predicted annual mean ground level ammonia concentrations and annual nitrogen
deposition rates at the discrete receptors within the restricted modelling domain are shown in Table
6. In the Table, predicted ammonia concentrations that are in excess of the Environment Agency’s
upper threshold (20% of Critical Level or Load for a SAC, 50% of Critical Level or Load for a SSSI and
100% of Critical Level or Load for an AW) are coloured red. Concentrations in the range between the
Environment Agency’s upper threshold and lower threshold (4% to 20% for a SAC, 20% to 50% for a
SSSI and 50% 1 to 100% for an AW) are coloured blue. For convenience, cells referring to AWs are
shaded olive, cells referring to SSSIs are shaded green and cells referring to the SAC are shaded
purple. The abbreviations PC, Cle and Clo, used in the tables means Process Contribution, Critical
Level and Critical Load, respectively.
Where receptors at both ground level and 7.5 m are defined, the nitrogen deposition rate is
calculated assuming that 50% of deposition occurs near ground level and 50% at canopy level.
Contour plots of the predicted maximum annual ammonia concentrations and nitrogen deposition
rates are shown in Figures 6a and 6b.
24
Table 6. Annual ammonia concentration and nitrogen deposition rate at the discrete receptors
Receptor number
X(m) Y(m)
Maximum annual mean ammonia concentration at ground level
Maximum annual mean ammonia concentration at 7.5 m above ground
level Maximum annual deposition rate
PC (µg/m
3)
Critical Level
(µg/m3)
%age of Cle
PC (µg/m
3)
Critical Level
(µg/m3)
%age of Cle
Deposition Velocity
(m/s)
PC (kg/ha)
Critical Level
(kg/ha)
%age of Clo
1 310598 263762 0.572 1.0 57.2 0.752 1.0 75.2 0.03 5.16 10.0 51.6
2 310626 263725 0.359 1.0 35.9 0.406 1.0 40.6 0.03 2.98 10.0 29.8
3 310560 263726 0.383 1.0 38.3 0.433 1.0 43.3 0.03 3.18 10.0 31.8
4 310751 263819 1.131 1.0 113.1 1.229 1.0 122.9 0.03 9.19 10.0 91.9
5 310816 263815 0.604 1.0 60.4 0.664 1.0 66.4 0.03 4.94 10.0 49.4
6 310767 263743 0.473 1.0 47.3 0.516 1.0 51.6 0.03 3.85 10.0 38.5
7 310610 263676 0.199 1.0 19.9 0.239 1.0 23.9 0.03 1.70 10.0 17.0
8 310531 263678 0.207 1.0 20.7 0.253 1.0 25.3 0.03 1.79 10.0 17.9
9 310840 263977 0.399 1.0 39.9 0.420 1.0 42.0 0.03 3.19 10.0 31.9
10 310876 263923 0.391 1.0 39.1 0.411 1.0 41.1 0.03 3.12 10.0 31.2
11 310853 264048 0.291 1.0 29.1 0.305 1.0 30.5 0.03 2.32 10.0 23.2
12 310648 264159 0.195 1.0 19.5 0.211 1.0 21.1 0.03 1.58 10.0 15.8
13 310535 264175 0.118 1.0 11.8 0.128 1.0 12.8 0.03 0.96 10.0 9.6
14 310814 264170 0.205 1.0 20.5 0.214 1.0 21.4 0.03 1.63 10.0 16.3
15 310939 264024 0.220 1.0 22.0 0.235 1.0 23.5 0.03 1.77 10.0 17.7
16 310971 263936 0.229 1.0 22.9 0.247 1.0 24.7 0.03 1.85 10.0 18.5
17 310890 263765 0.318 1.0 31.8 0.365 1.0 36.5 0.03 2.66 10.0 26.6
18 310803 263671 0.215 1.0 21.5 0.244 1.0 24.4 0.03 1.79 10.0 17.9
19 310575 263584 0.101 1.0 10.1 0.130 1.0 13.0 0.03 0.90 10.0 9.0
22 310925 263639 0.150 1.0 15.0 - - - 0.03 1.167 10.0 11.7
23 311059 264007 0.146 1.0 14.6 - - - 0.03 1.138 10.0 11.4
24 310981 264156 0.143 1.0 14.3 - - - 0.03 1.111 10.0 11.1
25 310838 264281 0.135 1.0 13.5 - - - 0.03 1.055 10.0 10.5
26 310715 264368 0.102 1.0 10.2 - - - 0.03 0.793 10.0 7.9
27 310545 264336 0.074 1.0 7.4 - - - 0.03 0.579 10.0 5.8
25
Table 6. (continued)
Receptor number
X(m) Y(m)
Maximum annual mean ammonia concentration at ground level
Maximum annual mean ammonia concentration at 7.5 m above ground
level Maximum annual deposition rate
PC (µg/m
3)
Critical Level
(µg/m3)
%age of Cle
PC (µg/m
3)
Critical Level
(µg/m3)
%age of Cle
Deposition Velocity
(m/s)
PC (kg/ha)
Critical Level
(kg/ha)
%age of Clo
54 310904 263769 0.304 3.0 10.1 - - - 0.02 1.581 10.0 15.8
55 310934 263830 0.325 3.0 10.8 - - - 0.02 1.687 10.0 16.9
56 310965 263889 0.260 3.0 8.7 - - - 0.02 1.351 10.0 13.5
57 310941 263658 0.166 3.0 5.5 - - - 0.02 0.865 10.0 8.6
58 311030 263802 0.210 3.0 7.0 - - - 0.02 1.093 10.0 10.9
59 311044 263962 0.172 3.0 5.7 - - - 0.02 0.895 10.0 9.0
60 311151 263936 0.132 3.0 4.4 - - - 0.02 0.685 10.0 6.9
61 311111 263771 0.155 3.0 5.2 - - - 0.02 0.806 10.0 8.1
76 311303 264272 0.063 1.0 6.3 - - - 0.03 0.488 10.0 4.9
77 311522 264019 0.050 1.0 5.0 - - - 0.03 0.388 10.0 3.9
78 311475 263599 0.052 1.0 5.2 - - - 0.03 0.408 10.0 4.1
80 311380 264798 0.027 1.0 2.7 - - - 0.03 0.212 10.0 2.1
26
Figure 6a. Maximum annual mean ammonia concentration
© Crown copyright and database rights. 2016.
28
6. Summary and Conclusions
AS Modelling & Data Ltd. has been instructed by Graham Clark of Berrys, on behalf of the applicant
Mr G Owen, to use computer modelling to assess the impact of ammonia emissions from the
proposed pullet rearing houses at Land Cwmroches, Penybont, Llandrindod Wells, Powys. LD1 5SY.
Ammonia emission rates from the proposed pullet rearing houses have been assessed and
quantified based upon the Environment Agency’s standard ammonia emission factors. The ammonia
emission rates have then been used as inputs to an atmospheric dispersion and deposition model
which calculates ammonia exposure levels and nitrogen and acid deposition rates in the surrounding
area.
There is a predicted exceedance of 100% of the precautionary Critical Level of 1.0 µg-NH3/m3 over
the northernmost tip of the unnamed AW to the south-east of the site of the proposed poultry
houses; this exceedance covers approximately 0.1 ha of the woodland.
At other nearby AWs, the process contributions to the annual mean ammonia concentration and
nitrogen deposition rate are predicted to be below the Environment Agency’s lower threshold
percentage of Critical Level or Critical Load for AWs (100%).
At Cae Cwn-Rhocas SSSI and other SSSIs, the process contributions to the annual mean ammonia
concentration and nitrogen deposition rate are predicted to be below the Environment Agency’s
lower threshold percentage of Critical Level or Critical Load for SSSIs.
At the River Wye SAC, there is a small predicted exceedance of 4% of the precautionary Critical Level
of 1.0 µg-NH3/m3, this exceedance extends along approximately 1.5 km of the SAC to the east of the
site of the proposed poultry houses. There are also small predicted exceedance of 4% of the Critical
Load of 10.0 kg/ha/y, near receptors 76 and 78. It should be noted that the SAC is designated
primarily for aquatic species and that plant species that are sensitive to ammonia (and nitrogen
deposition) are unlikely to be present along this stretch of the river, therefore the higher Critical
Level of 3.0 µg-NH3/m3 may be appropriate, in which case there would be no exceedance of 4% of
the Critical Level. It should also be noted that the Critical Load used for the assessment is the lower
bound of the range of Critical Loads for a habitats such as the banks of the river.
The process contributions to the annual mean ammonia concentration and nitrogen deposition rate
are predicted to be below the Environment Agency’s lower threshold percentage of Critical Level or
Critical Load for SACs (4%) at all other parts of the SAC.
Where exceedances of the lower threshold for non-statutory sites are predicted, some form of
mitigation is usually required. AS Modelling & Data Ltd. would recommend that, if available, to
compensate for possible detrimental effects on the nearby AWs, the woodland is actively managed
for wildlife, and/or, that land of at least a similar area to the exceedance of 100% of the Critical Level
(approximately 0.1 ha) is set aside for nature conservation and be planted/seeded with native
species.
29
Woodland planting schemes, or restoration to traditional unimproved grassland, could replace what
is currently improved grassland with low ecological value. If planted between the poultry unit and
the AWs, the newly planted woodland would act as a sink for ammonia from the poultry houses (and
from other sources of ammonia), thus reducing ammonia concentrations (and nitrogen and acid
deposition rates) at nearby AWs and other sites. Such schemes may be particularly effective at
increasing bio-diversity if they border, or connect with, existing remnants of woodland, or
unimproved grasslands.
30
7. References
Cambridge Environmental Research Consultants (CERC) (website). http://www.cerc.co.uk/environmental-software/ADMS-model.html
Environment Agency H1 Risk Assessment (website). https://www.gov.uk/government/collections/horizontal-guidance-environmental-permitting
M. A. Sutton et al. Measurement and modelling of ammonia exchange over arable croplands. https://enviro.doe.gov.my/lib/digital/1386301476-1-s2.0-S0166111606802748-main.pdf
Misselbrook. et al. Inventory of Ammonia Emissions from UK Agriculture 2011 http://uk-air.defra.gov.uk/assets/documents/reports/cat07/1211291427_nh3inv2011_261112_FINAL_corrected.pdf
United Nations Economic Commission for Europe (UNECE) (website). http://www.unece.org/env/lrtap/WorkingGroups/wge/definitions.htm
UK Air Pollution Information System (APIS) (website). http://www.apis.ac.uk/